February 2026 monthly summary for GEOS-ESM/swell focused on delivering a feature integration with Saber HybridBlockChain via YAML configuration updates. The primary feature delivered was HybridBlockChain YAML Configuration Integration, adapting YAML configurations to work with the Saber HybridBlockChain by modifying the covariance model and type to improve data handling and interoperability with downstream processing. All work associated with this feature is captured in commit 29dd8e739ba1ca75766be33ebec0fb36569e2d68 (Adapt yamls to saber HybridBlockChain (#695)). Major bugs fixed: none reported this month. Overall impact: established a reliable integration point with Saber HybridBlockChain for swell, enabling more robust data ingestion, consistency across environments, and smoother automation in future deployments. This work reduces configuration drift and accelerates onboarding of related data workflows. Technologies/skills demonstrated: YAML-based configuration management, domain-specific data modeling (covariance model adjustments), integration work with external systems, and disciplined version control.

January 2026: Delivered key enhancements to the GEOS-ESM/swell component focused on bias correction configuration and observation processing for local ensemble data assimilation. The work improves configuration robustness, processing fidelity of observations, and lays groundwork for more scalable data assimilation workflows.

October 2025 monthly summary for GEOS-ESM/swell focusing on configuration handling improvements for local ensemble data assimilation. A key stability fix preserved YAML key order to prevent misconfiguration and improve reproducibility in automated workflows.

Month: 2025-09 | Key deliverables center on expanding the GEOS-ESM/swell ensemble diagnostics pipeline. Delivered LocalEnsembleDA Increment Plots and EvaIncrement Workflow, refactoring the processing chain to include EvaIncrement and updating observation filtering for ensemble data. These changes enable end-to-end visualization of increments across atmospheric variables and pressure levels, improving forecast diagnostics and ensemble data quality. A tier1 configuration for LocalEnsembleDA was added to simplify deployment and configuration management (commit 8336d18cec8922ce770ff6a165a1de01496f4fca). Business value includes faster, repeatable diagnostics, better ensemble-based decision support, and scalable workflow improvements.

Month 2025-08: MAPL Sampler Naming Convention Standardization delivered in GEOS-ESM/MAPL. This work improves consistency with HISTORY conventions, enhances maintainability, and reduces downstream errors across the sampler component.

Concise monthly summary for 2025-07 focusing on key achievements, business value, and technical milestones.

In 2025-06, GEOS-ESM/MAPL delivered targeted enhancements to the Trajectory Sampler to improve configurability, compatibility, and data layout. Key changes include adding a schema.version option for trajectory sampler to support backward compatibility and clearer configuration, introducing a new write_lev_first option (referred to in code as write_LZ_first) to control output dimensional ordering and enable 'lev' as the leading dimension for trajectory and mask data. The changes also refactor how sampler types and parameters are handled and update observation time specifications and keyword mappings, increasing flexibility for grid types and History component configurations. These updates improve reproducibility, reduce configuration errors, and better support downstream analytics and HPC workloads.

April 2025 performance summary for GEOS-ESM/swell: Implemented configurable SLURM execution time and GEOS-X ensemble support in JEDI, with workflow updates to automate ensemble processing and improve forecast reliability. These changes deliver greater configurability, scalability, and end-to-end automation.

January 2025 monthly highlights for GEOS-ESM/MAPL. Delivered a trajectory sampler enhancement to improve observation file handling, enabling per-epoch single observation file usage and restoration of the output field location in the observation file. This change simplifies data management, reduces I/O complexity, and improves output consistency across epochs. This work emphasizes configurability and robustness in trajectory data processing, supporting more scalable and reproducible experiments.

December 2024 (2024-12) — GEOS-ESM/swell: Implemented the observation thinning workflow within the JEDI framework, introducing a new executable for running observation filters and integrating the thinning step into the local ensemble data assimilation workflow. Configuration updates and a new task definition for processing observations were completed. No major bugs fixed this month. This work enhances data thinning efficiency and reproducibility, laying groundwork for more scalable assimilation workflows. Notable commit: 86a3d42244fecc2d5339027024fe8262f74c2e78 (A draft for obs thinning).

Month 2024-11 – Summary of developer work on GEOS-ESM/swell. This month focused on delivering a feature to granularly tune per-observer horizontal localization for LGETKF, with no major bugs fixed reported. The work enhances data assimilation configurability and potential accuracy, and demonstrates proficiency in LGETKF-based localization, dynamic configuration loading, and Python tooling.